Optimization and evaluation of dry and minimum quantity lubricating methods on machinability of AISI 4140 using Taguchi design and ANOVA

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dc.authorid0000-0003-1391-172Xen_US
dc.contributor.authorGürbüz, Hüseyin
dc.contributor.authorGönülaçar, Yunus Emre
dc.date.accessioned2021-11-17T08:16:58Z
dc.date.available2021-11-17T08:16:58Z
dc.date.issued2020-07-05en_US
dc.departmentBatman Üniversitesi Mühendislik - Mimarlık Fakültesi Makine Mühendisliği Bölümüen_US
dc.description.abstractIn this work, it is aimed to study the effects of dry machining and minimum quantity lubrication application on machinability in turning AISI 4140 steel by utilizing different cutting parameters. Also, this study contains effects and optimization of cutting conditions (dry and minimum quantity lubricating), feed rate, and cutting speed on surface roughness (Ra) and main cutting forces (Fc) determined by employing the Taguchi method. At the end of experiments, it was established that compared to dry machining operations, minimum quantity lubricating significantly reduced cutting tool wear, while Fc and Ra decreased in general. Analyses of variance, regression analysis, signal-to-noise ratio, and orthogonal array were employed to analyze the effects and contributions of independent variables on dependent variables. The optimum levels of the dependent variables for reducing Fc and Ra using signal-to-noise rates were established. According to signal-to-noise ratios, minimum quantity lubricating had a more important effect on Fc and Ra than dry machining. The optimal conditions for Fc and Ra were at 0.16 mm/rev feed rate, 125 m/min cutting speed at minimum quantity lubricating. Analysis of variance results demonstrated that the feed rate is the most influential independent variable on Fc (93.976 %) and Ra (89.352 %). Validation test results exhibited that the Taguchi method and regression analysis were highly achieved methods in the optimization of independent variables for dependent variables. Taguchi optimization technique and regression analysis obtained from Fc (R2Tag. = 0.972 and R2Rag. = 0.997) and Ra (R2Tag. = 0.985 and R2Rag. = 0.996) measurements match really well with the experimental dataen_US
dc.identifier.citationGürbüz, H., Gönülaçar, Y.E. (2020). Optimization and evaluation of dry and minimum quantity lubricating methods on machinability of AISI 4140 using Taguchi design and ANOVA. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 235 (7), pp.1211-1227. DOI:https://dx.doi.org/10.1177/0954406220939609en_US
dc.identifier.endpage1227en_US
dc.identifier.issn0954-4062
dc.identifier.issue7en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage1211en_US
dc.identifier.urihttps://dx.doi.org/10.1177/0954406220939609
dc.identifier.urihttps://hdl.handle.net/20.500.12402/4003
dc.identifier.volume235en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSAGE Journalsen_US
dc.relation.isversionof10.1177/0954406220939609en_US
dc.relation.journalProceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Scienceen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.rightsAttribution-NonCommercial-ShareAlike 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/us/*
dc.subjectMinimum Quantity Lubricating and Dry Machiningen_US
dc.subjectMachinability,en_US
dc.subjectTaguchi Methoden_US
dc.subjectANOVAen_US
dc.subjectOptimizationen_US
dc.titleOptimization and evaluation of dry and minimum quantity lubricating methods on machinability of AISI 4140 using Taguchi design and ANOVAen_US
dc.title.alternativeTaguchi tasarımı ve ANOVA kullanılarak AISI 4140'ın işlenebilirliği üzerine kuru ve minimum miktarda yağlama yöntemlerinin optimizasyonu ve değerlendirilmesien_US
dc.typeArticleen_US

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